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- Tasks: Develop and deliver innovative AI solutions for enterprise clients using data science expertise.
- Company: Join a Tier 1 client known for cutting-edge AI technologies and impactful solutions.
- Benefits: Enjoy flexible work, 25 days leave, health insurance, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation while collaborating with diverse stakeholders in a supportive culture.
- Qualifications: Strong data science background, experience with MLOps, and excellent communication skills required.
- Other info: Opportunities for international work and regular team socials to enhance your work experience.
The predicted salary is between 43200 - 72000 £ per year.
AI Engineer – Data Science
Hybrid | London, England | Engineering
Overview
The Explore Group are partnered with one of our Tier 1 clients to secure AI Engineers with strong data science expertise who are eager to develop and deliver innovative AI solutions for large scale organisations. This role requires a combination of technical skills and business understanding, working with advanced AI technologies to create impactful data driven applications.
Responsibilities
- Partner with enterprise clients to understand requirements and design tailored AI and data science solutions
- Apply statistical modelling, machine learning, and programming expertise to solve complex problems
- Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools
- Deliver production ready solutions that integrate into existing client environments
- Engage with stakeholders at different levels, translating technical approaches into clear business outcomes
- Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design
Requirements
- Strong background in data science and machine learning with solid understanding of statistics and programming
- Exposure to MLOps and experience deploying models into production environments
- Interest and practical experience in using emerging AI technologies such as co pilots, agentic frameworks, and generative AI applications
- Proven ability to manage client expectations and deliver high quality solutions in a collaborative environment
- Excellent communication skills with the ability to present technical concepts to both technical and non technical audiences
Benefits
We offer a supportive and flexible work environment with a comprehensive benefits package including:
- 25 days of annual leave plus bank holidays
- Share options and pension scheme
- Health and dental insurance options
- Professional learning and development budget
- Cycle to work scheme and technology allowance
- Referral bonus scheme
- Opportunities to work abroad for limited periods
- Regular team socials and office perks
AI Engineer - Data Science employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Data Science
✨Tip Number 1
Familiarise yourself with the latest AI technologies mentioned in the job description, such as large language models and generative AI applications. Being able to discuss these technologies confidently during interviews will show your enthusiasm and readiness for the role.
✨Tip Number 2
Engage with the data science community through online forums or local meetups. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for positions like the one at StudySmarter.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills by working on real-world projects or case studies that involve statistical modelling and machine learning. Having concrete examples to share will help you stand out during discussions with potential employers.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since the role requires communicating with both technical and non-technical stakeholders, being able to translate your knowledge effectively will be a key asset in your application process.
We think you need these skills to ace AI Engineer - Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. Include specific projects where you've applied statistical modelling and programming skills, as well as any exposure to MLOps.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI technologies and how your background aligns with the role. Mention any relevant experience with emerging AI technologies and your ability to communicate complex concepts to diverse audiences.
Showcase Relevant Projects: If you have worked on projects involving large language models or generative AI applications, be sure to include these in your application. Describe your role and the impact of your contributions.
Prepare for Technical Questions: Anticipate technical questions related to data science and AI during the interview process. Brush up on your knowledge of statistical methods, machine learning algorithms, and recent advancements in AI technologies.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science and machine learning. Highlight specific projects where you've applied statistical modelling and programming to solve complex problems, as this will demonstrate your technical expertise.
✨Understand the Business Context
Make sure you can articulate how your technical skills translate into business outcomes. Research the company and its clients to understand their needs, and be ready to discuss how your solutions can add value.
✨Stay Current with AI Technologies
Familiarise yourself with the latest AI tools and technologies mentioned in the job description, such as large language models and generative AI applications. Being able to discuss these topics will show your enthusiasm and commitment to the field.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You may encounter both technical and non-technical stakeholders during the interview, so being able to adapt your communication style is crucial.
